Generating random numbers

You've seen sample() and it's dplyr cousin, slice_sample() for generating pseudo-random numbers from a set of values. A related task is to generate random numbers that follow a statistical distribution, like the uniform distribution or the normal distribution.

Each random number generation function has a name beginning with "r". It's first argument is the number of numbers to generate, but other arguments are distribution-specific. Free hint: Try args(runif) and args(rnorm) to see what arguments you need to pass to those functions.

n_numbers is available and set to 5000; ggplot2 is loaded.

This exercise is part of the course

Sampling in R

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Generate random numbers from ...
randoms <- data.frame(
  # a uniform distribution from -3 to 3
  uniform = ___,
  # a normal distribution with mean 5 and sd 2
  normal = ___
)

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